Smart Journey Mining
Research project to support successful digitalisation by extending the research front in process mining and service science with formal analytics and AI.
Pinned Repositories
.github
abs_journeys_aol-23
User journey games modeled in ABS
bpi_games
Repository for BPI Games Idea
CJML
CJML-Integrator
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
probabilistic_games
sequential-deep-learning-models
The framework implements in a coherent manner several state-of-the-art sequential deep learning approaches (LSTM, Seq-AE, Seq-AE-GAN, Transformer, BERT, GPT, WaveNet) for process prediction. These are implemented in Python and PM4Py and provide a starting point for process prediction.
spotify_journey
User-Journey-Games
Repository for game theory approach for journeys
Smart Journey Mining's Repositories
smartjourneymining/sequential-deep-learning-models
The framework implements in a coherent manner several state-of-the-art sequential deep learning approaches (LSTM, Seq-AE, Seq-AE-GAN, Transformer, BERT, GPT, WaveNet) for process prediction. These are implemented in Python and PM4Py and provide a starting point for process prediction.
smartjourneymining/bpi_games
Repository for BPI Games Idea
smartjourneymining/User-Journey-Games
Repository for game theory approach for journeys
smartjourneymining/CJML-Integrator
smartjourneymining/.github
smartjourneymining/abs_journeys_aol-23
User journey games modeled in ABS
smartjourneymining/CJML
smartjourneymining/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
smartjourneymining/probabilistic_games
smartjourneymining/spotify_journey